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Developer Tools

gtree

Last updated 2026-10-15 · benchmark measured 2026-10-15 — deterministic & reproducible

gtree is a native Mac app for managing multiple AI coding agents across git worktrees.

gtree at a glance

gtree is a native Mac app that runs alongside Claude Code and Codex, tracking the status of multiple AI coding agents, preventing file conflicts between them, and letting you restore or search past conversations, aimed at solo developers and teams working on local git repositories.

Good for

  • Running up to 5 AI coding agents at once on the same Mac and seeing which one needs attention
  • Avoiding file conflicts when agents in the same or different git worktrees edit the same file
  • Rolling back a specific AI turn if an agent's change breaks something, or searching past AI conversations across a repo

Pricing

Local features free forever, no sign-up required. A Team plan is in development with no pricing announced yet.

Questions people ask

What does gtree actually do?
It's a native Mac app that runs alongside Claude Code and Codex, tracking each AI agent's status, preventing file conflicts between agents, and letting you restore or search any past conversation.

Is gtree free to use?
Yes, local features are free forever with no sign-up. A Team plan is in development but pricing hasn't been announced yet.

Does gtree upload my code anywhere?
No, gtree never uploads your code; it reads and writes git using the git installed on your Mac, so your SSH keys and hooks work normally.

Which AI coding tools does gtree work with?
It works with Claude Code and Codex. Some features, like stopping to ask before editing a teammate's in-progress file and letting an agent in one project ask an agent in another, currently only work with Claude Code.

What are the app's system requirements and size?
gtree is a native app for Apple Silicon Macs, a 24 MB download that installs to 73 MB, uses about 100 MB of memory when idle, and opens in about 0.2 seconds.

Written by Legit.Show from gtree.dobbylab.com on 2026-10-16. It does not change the score.

81/100
7/7 frames
Top 44% of 17,356 measured · #30 of 71 in ai coding agent ide
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-10-15 · scores move as sites change

Are you the maker of gtree? Claim this listing. It is free, takes a meta tag, a DNS record or GitHub admin rights, and never changes the score.

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To cite this score: legit.show/s/gtree-dobbylab-com/2026-10-15. That address never changes; this page moves with every re-measure.

Legit.Show scored gtree 81/100 on 2026-10-15, measured across all 7 frames from its public surface. legit.show/s/gtree-dobbylab-com/2026-10-15

Is gtree production-ready?

Legit.Show scores gtree 81 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on gtree (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Security. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who built it

product account @dobbylabhq

Who it's for

Developers · AI agent users · Teams with multiple coders · Claude Code users · Codex users

Pricing

Free forever for local features; Team plan in development with no pricing announced yet

Sources and updates

Description
Taken from gtree.dobbylab.com's own website on 2026-10-15.
Operator
DobbyLab, as named in gtree.dobbylab.com's terms, privacy page or footer.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-15.

Put together from public information, without gtree's involvement. If anything here is wrong, tell us and a person will check it.

Visit gtree → · Alternatives to gtree → · How this was measured →

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